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All Journal MUST: Journal of Mathematics Education, Science and Technology Jurnal Statistika dan Aplikasinya
Dania Siregar
Universitas Negeri Jakarta
Agriculture, Biological Sciences & Forestry Computer Science & IT Economics, Econometrics & Finance Education Mathematics Social Sciences Other

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Journal : MUST: Journal of Mathematics Education, Science and Technology

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ANALYZING READING LITERACY SCORE OF INDONESIAN STUDENTS USING LINEAR MIXED MODELS Vera Maya Santi; Syifa Azzahra; Dania Siregar
MUST: Journal of Mathematics Education, Science and Technology Vol 7 No 2 (2022): DECEMBER
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/must.v7i2.14420

Abstract

The linear mixed models is a development of the linear model which includes both fixed and random effects in the model. Random effect in the model is used to model complex data that has a grouping structure. The grouping structure can occur because the same observations are measured repeatedly or each observation is measured only once but these observations have some form of group structure. Students who participate in the Program for International Student Assessment (PISA) are nested in several schools, so the PISA data structure is quite complex and requires a more in-depth analysis. Quantitative studies on PISA, especially in reading literacy, are still rarely done. The purpose of this study is to determine what factors effect the Indonesian student’s PISA reading literacy scores using a linear mixed model approach with school being used as a random effect in the model. The findings of the study are that the factors that affects Indonesian student’s PISA reading literacy scores are the class being taken, gender, mother's highest education, facilities at home, school entry age, student discipline and failed a grade. The result of the estimation of random effect variance which is not equal to zero indicates that there is a random effect from the student’s school on PISA reading literacy scores. Based on model diagnostics and parameter testing, it was concluded that the model obtained is fitted in modeling Indonesian student’s PISA reading literacy scores.
Co-Authors Bintang Mahesa Wardana Faroh Ladayya Hilmy Dzaky Muchtar Naufal Zhafran Albaqi Sherina Arthariani Zukrianto Syifa Azzahra Vera Maya Santi Widyanti Rahayu Wiligis Eka Pranoto